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--- |
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base_model: aubmindlab/bert-base-arabertv02 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: 2levels_52521 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# 2levels_52521 |
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9976 |
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- Macro F1: 0.8132 |
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- Macro Precision: 0.8220 |
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- Macro Recall: 0.8153 |
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- Accuracy: 0.8140 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Macro Precision | Macro Recall | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:| |
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| 0.4301 | 1.0 | 821 | 0.3758 | 0.8300 | 0.8360 | 0.8315 | 0.8305 | |
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| 0.2994 | 2.0 | 1642 | 0.4510 | 0.8141 | 0.8311 | 0.8175 | 0.8157 | |
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| 0.2131 | 3.0 | 2463 | 0.5463 | 0.8077 | 0.8252 | 0.8113 | 0.8095 | |
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| 0.0958 | 4.0 | 3284 | 0.7365 | 0.8081 | 0.8229 | 0.8113 | 0.8096 | |
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| 0.055 | 5.0 | 4105 | 0.9349 | 0.8113 | 0.8245 | 0.8142 | 0.8126 | |
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| 0.0352 | 6.0 | 4926 | 0.9976 | 0.8132 | 0.8220 | 0.8153 | 0.8140 | |
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### Framework versions |
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- Transformers 4.43.4 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.4.1 |
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- Tokenizers 0.19.1 |
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